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Stochastic bounds for parallel program execution times with processor constraints

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1 Author(s)
Keqin Li ; Dept. of Math. & Comput. Sci., State Univ. of New York, New Paltz, NY, USA

We develop some stochastic lower and upper bounds for parallel program execution times when there are limited processors. Such analysis can provide important information for job scheduling and resource allocation. For several typical classes of parallel programs, we derive very accurate closed form approximations for the bounds. Examples are also given to demonstrate the quality of the bounds

Published in:

Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on

Date of Conference:

25-28 Oct 1995